gaussdistribution = scipy.stats.norm(0, 0.1) def prior(cube, ndim, nparams): # prepare the output array, which has the same @shape for n in range(ndim): cube[n ...

So I'm not a programmer, I took a few classes ages ago, but there are some Python scripts in use on the servers here so I figured I'd start. What I'm trying to do is call an API and get a chunk of ...